Workflow Orchestration for Precious Metal Yields

Precious metal market data primarily comes from official APIs of professional trading institutions including the Shanghai Gold Exchange and the London

What the Data for This Category Looks Like

Precious metal market data primarily comes from official APIs of professional trading institutions including the Shanghai Gold Exchange and the London Bullion Market Association. Data refreshes every 10 seconds to 1 minute during trading hours. Full daily updates are completed after market close outside trading hours. Each data entry includes fields such as product code, Chinese and English names, latest transaction price, price change range, settlement price, position volume, trading unit, and more. Common trading units are grams/yuan, kilograms/yuan, or ounces/USD. Some products include exclusive fields like deferred fee and delivery date.

Constraints for Workflow Orchestration

The high-frequency refresh rate of precious metal market data requires workflow scheduled triggers to match the trading hour update rhythm. This prevents pulling expired or unupdated data. Exclusive fields such as deferred fee and delivery date require targeted field mapping rules in data extraction nodes. This ensures non-general fields are captured correctly. For multi-data-source scenarios, add a cross-source verification step. This avoids workflow anomalies from single data source failures. Differences in units across trading markets require a unit conversion node in the workflow. This unifies the output format.

Configuration Settings

Configuration ItemRecommended SettingRationale
trigger_cronTrading hours: */1 * 9-11,13-15,20-23 * * 0-4; Non-trading hours: 0 0 * 1-5 *Matches the trading hours and market refresh rhythm of the Shanghai Gold Exchange, to avoid pulling expired data
data_source_priorityShanghai Gold Exchange > London Bullion Market Association > Third-party aggregation platformDomestic precious metal trading uses local exchange data as the benchmark, prioritizing real-time performance and accuracy
field_extract_rulesContains ["latest_price", "change_rate", "settlement_price", "deferred_fee", "delivery_date"]Covers exclusive business fields for precious metals, avoiding missing core data
http_request_timeout10 secondsHigh-frequency market APIs have fast response times. An overly long timeout causes workflow backlogs, while an overly short timeout triggers invalid retries
unit_convert_switchEnabledCross-market data uses multiple unit formats, so conversion to standard business units is required
error_retry_max2 retriesCovers occasional transient faults in market APIs, avoiding excessive retries that increase data source pressure

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

  • Scenario: After calling a chart tool in the workflow to generate a precious metal yield chart, the output result is empty. Cause: The chart's data source field mapping is not configured, or the field names of the incoming market data do not match the chart tool's preset fields.
  • Scenario: A 400 Bad Request error is returned when the workflow calls the market API. Cause: The request parameters do not include the precious metal product code, or the unit parameter format does not meet the API requirements.
  • Scenario: After the AI chat node returns empty or an error, the workflow terminates directly with no additional prompts. Cause: No exception branch handling rules are configured, and no fallback logic is set for empty returns or error states.

How to Verify a Successful Configuration

  • Manually trigger the workflow once. Review the output logs of the data pull node to confirm that exclusive precious metal fields such as deferred fee and delivery date are included.
  • Check the trigger_cron expression for the scheduled trigger configuration. Confirm it matches the refresh rhythm of the corresponding trading hours, and that the non-trading hour trigger frequency meets business requirements.
  • Configure an exception branch test. Simulate an API return of 400 Bad Request or empty data, then confirm the workflow triggers the preset fallback logic.
  • Call the chart tool node. Pass in simulated precious metal yield data, then confirm the chart generates normally and outputs a valid link.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.